Instructions to use NeverSleep/Echidna-13b-v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeverSleep/Echidna-13b-v0.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NeverSleep/Echidna-13b-v0.3")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NeverSleep/Echidna-13b-v0.3") model = AutoModelForCausalLM.from_pretrained("NeverSleep/Echidna-13b-v0.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use NeverSleep/Echidna-13b-v0.3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NeverSleep/Echidna-13b-v0.3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeverSleep/Echidna-13b-v0.3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NeverSleep/Echidna-13b-v0.3
- SGLang
How to use NeverSleep/Echidna-13b-v0.3 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "NeverSleep/Echidna-13b-v0.3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeverSleep/Echidna-13b-v0.3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "NeverSleep/Echidna-13b-v0.3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeverSleep/Echidna-13b-v0.3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NeverSleep/Echidna-13b-v0.3 with Docker Model Runner:
docker model run hf.co/NeverSleep/Echidna-13b-v0.3
Create README.md
Browse files
README.md
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---
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license: cc-by-nc-4.0
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---
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put image here
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# This model is a collab between [IkariDev](https://huggingface.co/IkariDev) and [Undi](https://huggingface.co/Undi95)!
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Echidna v0.3 model. Use Alpaca format. Suitable for RP, ERP and general stuff.
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Echidna v0.3, here it is.. its like Echidna v0.3 on steroides.
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This model seems to still be pretty sensitive to your generation settings, experiment until you've found your settings.
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[Recommended settings - No settings yet(Please suggest some over in the Community tab!)]
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<!-- description start -->
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## Description
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<!-- [Recommended settings - contributed by localfultonextractor](https://files.catbox.moe/ue0tja.json) -->
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This repo contains FP16 files of Echidna-13b-v0.3.
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[FP16 - by IkariDev and Undi](https://huggingface.co/NeverSleep/Echidna-13b-v0.3)
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<!-- [GGUF - By TheBloke](https://huggingface.co/TheBloke/Athena-v4-GGUF)-->
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<!-- [GPTQ - By TheBloke](https://huggingface.co/TheBloke/Athena-v4-GPTQ)-->
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<!-- [exl2 - by waldie](https://huggingface.co/waldie/Athena-v4-8bpw-h8-exl2)-->
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<!-- [AWQ - By TheBloke](https://huggingface.co/TheBloke/Athena-v4-AWQ)-->
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<!-- [fp16 - by IkariDev+Undi95](https://huggingface.co/IkariDev/Athena-v4)-->
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[GGUF - by IkariDev and Undi](https://huggingface.co/NeverSleep/Echidna-13b-v0.3-GGUF)
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<!-- [OLD(GGUF - by IkariDev+Undi95)](https://huggingface.co/IkariDev/Athena-v4-GGUF)-->
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## Ratings:
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Note: We have permission of all users to upload their ratings, i DONT screenshot random reviews without asking if i can put them here!
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No ratings yet!
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If you want your rating to be here, send us a message over on DC and we'll put up a screenshot of it here. DC name is "ikaridev" and "undi".
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<!-- description end -->
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<!-- description start -->
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## Models+loras used and recipe
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- Xwin-LM/Xwin-LM-13B-V0.2
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- IkariDev/Athena-v3
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- Heralax/Cat-0.5
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- Undi95/PsyMedRP-v1-13B
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- cgato/Thespis-13b-v0.4
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- KoboldAI/LLaMA2-13B-TiefighterLR
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- Heralax/Augmental-13b-two-epochs
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- Sao10K/SthenoWriter2.1-L2-13B
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- Undi95/Storytelling-v2.1-13B-lora
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- lemonilia/LimaRP-Llama2-13B-v3-EXPERIMENT
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- migtissera/Synthia-13B-v1.2
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- Undi95/Trismegistus-lora
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<!-- description end -->
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<!-- prompt-template start -->
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## Prompt template: Alpaca
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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```
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## Others
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Undi: If you want to support me, you can [here](https://ko-fi.com/undiai).
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IkariDev: Visit my [retro/neocities style website](https://ikaridevgit.github.io/) please kek
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